Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 1000 |
| Missing cells | 192 |
| Missing cells (%) | 1.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 93.9 KiB |
| Average record size in memory | 96.1 B |
Variable types
| NUM | 7 |
|---|---|
| CAT | 5 |
Title has a high cardinality: 999 distinct values | High cardinality |
Genre has a high cardinality: 207 distinct values | High cardinality |
Director has a high cardinality: 644 distinct values | High cardinality |
Actors has a high cardinality: 996 distinct values | High cardinality |
Revenue (Millions) has 128 (12.8%) missing values | Missing |
Metascore has 64 (6.4%) missing values | Missing |
Title is uniformly distributed | Uniform |
Director is uniformly distributed | Uniform |
Actors is uniformly distributed | Uniform |
Rank has unique values | Unique |
Description has unique values | Unique |
Reproduction
| Analysis started | 2020-11-25 10:26:23.987573 |
|---|---|
| Analysis finished | 2020-11-25 10:26:29.798253 |
| Duration | 5.81 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
| Distinct | 1000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 500.5 |
|---|---|
| Minimum | 1 |
| Maximum | 1000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 50.95 |
| Q1 | 250.75 |
| median | 500.5 |
| Q3 | 750.25 |
| 95-th percentile | 950.05 |
| Maximum | 1000 |
| Range | 999 |
| Interquartile range (IQR) | 499.5 |
Descriptive statistics
| Standard deviation | 288.8194361 |
|---|---|
| Coefficient of variation (CV) | 0.5770618104 |
| Kurtosis | -1.2 |
| Mean | 500.5 |
| Median Absolute Deviation (MAD) | 250 |
| Skewness | 0 |
| Sum | 500500 |
| Variance | 83416.66667 |
| Monotocity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1000 | 1 | 0.1% | |
| 329 | 1 | 0.1% | |
| 342 | 1 | 0.1% | |
| 341 | 1 | 0.1% | |
| 340 | 1 | 0.1% | |
| 339 | 1 | 0.1% | |
| 338 | 1 | 0.1% | |
| 337 | 1 | 0.1% | |
| 336 | 1 | 0.1% | |
| 335 | 1 | 0.1% | |
| Other values (990) | 990 | 99.0% |
| Value | Count | Frequency (%) | |
| 1 | 1 | 0.1% | |
| 2 | 1 | 0.1% | |
| 3 | 1 | 0.1% | |
| 4 | 1 | 0.1% | |
| 5 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 1000 | 1 | 0.1% | |
| 999 | 1 | 0.1% | |
| 998 | 1 | 0.1% | |
| 997 | 1 | 0.1% | |
| 996 | 1 | 0.1% |
| Distinct | 999 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| The Host | 2 |
|---|---|
| Spectral | 1 |
| Rambo | 1 |
| Mission: Impossible - Ghost Protocol | 1 |
| Remember Me | 1 |
| Other values (994) |
| Value | Count | Frequency (%) | |
| The Host | 2 | 0.2% | |
| Spectral | 1 | 0.1% | |
| Rambo | 1 | 0.1% | |
| Mission: Impossible - Ghost Protocol | 1 | 0.1% | |
| Remember Me | 1 | 0.1% | |
| The Fast and the Furious: Tokyo Drift | 1 | 0.1% | |
| Jack Reacher: Never Go Back | 1 | 0.1% | |
| The Giver | 1 | 0.1% | |
| Kimi no na wa | 1 | 0.1% | |
| Allied | 1 | 0.1% | |
| Other values (989) | 989 | 98.9% |
Frequencies of value counts
Unique
| Unique | 998 ? |
|---|---|
| Unique (%) | 99.8% |
Histogram of lengths of the category
Length
| Max length | 61 |
|---|---|
| Median length | 13 |
| Mean length | 14.539 |
| Min length | 2 |
| Distinct | 207 |
|---|---|
| Distinct (%) | 20.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| Action,Adventure,Sci-Fi | 50 |
|---|---|
| Drama | 48 |
| Comedy,Drama,Romance | 35 |
| Comedy | 32 |
| Drama,Romance | 31 |
| Other values (202) |
| Value | Count | Frequency (%) | |
| Action,Adventure,Sci-Fi | 50 | 5.0% | |
| Drama | 48 | 4.8% | |
| Comedy,Drama,Romance | 35 | 3.5% | |
| Comedy | 32 | 3.2% | |
| Drama,Romance | 31 | 3.1% | |
| Action,Adventure,Fantasy | 27 | 2.7% | |
| Comedy,Drama | 27 | 2.7% | |
| Animation,Adventure,Comedy | 27 | 2.7% | |
| Comedy,Romance | 26 | 2.6% | |
| Crime,Drama,Thriller | 24 | 2.4% | |
| Other values (197) | 673 | 67.3% |
Frequencies of value counts
Unique
| Unique | 85 ? |
|---|---|
| Unique (%) | 8.5% |
Histogram of lengths of the category
Length
| Max length | 26 |
|---|---|
| Median length | 20 |
| Mean length | 18.095 |
| Min length | 5 |
| Distinct | 1000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| A committed dancer wins the lead role in a production of Tchaikovsky's "Swan Lake" only to find herself struggling to maintain her sanity. | 1 |
|---|---|
| A documentary team films the lives of a group of vampires for a few months. The vampires share a house in Wellington, New Zealand. Turns out vampires have their own domestic problems too. | 1 |
| When a member of a popular New York City improv troupe gets a huge break, the rest of the group - all best friends - start to realize that not everyone is going to make it after all. | 1 |
| Ex-con Jensen Ames is forced by the warden of a notorious prison to compete in our post-industrial world's most popular sport: a car race in which inmates must brutalize and kill one another on the road to victory. | 1 |
| When twelve mysterious spacecraft appear around the world, linguistics professor Louise Banks is tasked with interpreting the language of the apparent alien visitors. | 1 |
| Other values (995) |
| Value | Count | Frequency (%) | |
| A committed dancer wins the lead role in a production of Tchaikovsky's "Swan Lake" only to find herself struggling to maintain her sanity. | 1 | 0.1% | |
| A documentary team films the lives of a group of vampires for a few months. The vampires share a house in Wellington, New Zealand. Turns out vampires have their own domestic problems too. | 1 | 0.1% | |
| When a member of a popular New York City improv troupe gets a huge break, the rest of the group - all best friends - start to realize that not everyone is going to make it after all. | 1 | 0.1% | |
| Ex-con Jensen Ames is forced by the warden of a notorious prison to compete in our post-industrial world's most popular sport: a car race in which inmates must brutalize and kill one another on the road to victory. | 1 | 0.1% | |
| When twelve mysterious spacecraft appear around the world, linguistics professor Louise Banks is tasked with interpreting the language of the apparent alien visitors. | 1 | 0.1% | |
| The USS Enterprise crew explores the furthest reaches of uncharted space, where they encounter a new ruthless enemy who puts them and everything the Federation stands for to the test. | 1 | 0.1% | |
| An alien on the run from his own people makes friends with a girl. He tries to help her on her quest, but can be an interference. | 1 | 0.1% | |
| A former secretary, newly appointed as a scriptwriter for propaganda films, joins the cast and crew of a major production while the Blitz rages around them. | 1 | 0.1% | |
| Scott Pilgrim must defeat his new girlfriend's seven evil exes in order to win her heart. | 1 | 0.1% | |
| The story of the 2013 Boston Marathon bombing and the aftermath, which includes the city-wide manhunt to find the terrorists responsible. | 1 | 0.1% | |
| Other values (990) | 990 | 99.0% |
Frequencies of value counts
Unique
| Unique | 1000 ? |
|---|---|
| Unique (%) | 100.0% |
Histogram of lengths of the category
Length
| Max length | 421 |
|---|---|
| Median length | 159 |
| Mean length | 163.232 |
| Min length | 42 |
| Distinct | 644 |
|---|---|
| Distinct (%) | 64.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| Ridley Scott | 8 |
|---|---|
| Michael Bay | 6 |
| M. Night Shyamalan | 6 |
| Paul W.S. Anderson | 6 |
| David Yates | 6 |
| Other values (639) |
| Value | Count | Frequency (%) | |
| Ridley Scott | 8 | 0.8% | |
| Michael Bay | 6 | 0.6% | |
| M. Night Shyamalan | 6 | 0.6% | |
| Paul W.S. Anderson | 6 | 0.6% | |
| David Yates | 6 | 0.6% | |
| Denis Villeneuve | 5 | 0.5% | |
| Peter Berg | 5 | 0.5% | |
| Martin Scorsese | 5 | 0.5% | |
| J.J. Abrams | 5 | 0.5% | |
| Danny Boyle | 5 | 0.5% | |
| Other values (634) | 943 | 94.3% |
Frequencies of value counts
Unique
| Unique | 444 ? |
|---|---|
| Unique (%) | 44.4% |
Histogram of lengths of the category
Length
| Max length | 32 |
|---|---|
| Median length | 13 |
| Mean length | 13.139 |
| Min length | 3 |
| Distinct | 996 |
|---|---|
| Distinct (%) | 99.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| Shia LaBeouf, Megan Fox, Josh Duhamel, Tyrese Gibson | 2 |
|---|---|
| Jennifer Lawrence, Josh Hutcherson, Liam Hemsworth, Woody Harrelson | 2 |
| Daniel Radcliffe, Emma Watson, Rupert Grint, Michael Gambon | 2 |
| Gerard Butler, Aaron Eckhart, Morgan Freeman,Angela Bassett | 2 |
| Mark Rylance, Ruby Barnhill, Penelope Wilton,Jemaine Clement | 1 |
| Other values (991) |
| Value | Count | Frequency (%) | |
| Shia LaBeouf, Megan Fox, Josh Duhamel, Tyrese Gibson | 2 | 0.2% | |
| Jennifer Lawrence, Josh Hutcherson, Liam Hemsworth, Woody Harrelson | 2 | 0.2% | |
| Daniel Radcliffe, Emma Watson, Rupert Grint, Michael Gambon | 2 | 0.2% | |
| Gerard Butler, Aaron Eckhart, Morgan Freeman,Angela Bassett | 2 | 0.2% | |
| Mark Rylance, Ruby Barnhill, Penelope Wilton,Jemaine Clement | 1 | 0.1% | |
| Johnny Depp, Rebecca Hall, Morgan Freeman, Cillian Murphy | 1 | 0.1% | |
| Emma Stone, Amanda Bynes, Penn Badgley, Dan Byrd | 1 | 0.1% | |
| Lucas Till, Jane Levy, Thomas Lennon, Barry Pepper | 1 | 0.1% | |
| Denzel Washington, Mila Kunis, Ray Stevenson, Gary Oldman | 1 | 0.1% | |
| Mark Wahlberg, Taylor Kitsch, Emile Hirsch, Ben Foster | 1 | 0.1% | |
| Other values (986) | 986 | 98.6% |
Frequencies of value counts
Unique
| Unique | 992 ? |
|---|---|
| Unique (%) | 99.2% |
Histogram of lengths of the category
Length
| Max length | 77 |
|---|---|
| Median length | 58 |
| Mean length | 58.288 |
| Min length | 43 |
Year
Real number (ℝ≥0)
| Distinct | 11 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2012.783 |
|---|---|
| Minimum | 2006 |
| Maximum | 2016 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 2006 |
|---|---|
| 5-th percentile | 2007 |
| Q1 | 2010 |
| median | 2014 |
| Q3 | 2016 |
| 95-th percentile | 2016 |
| Maximum | 2016 |
| Range | 10 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.205961508 |
|---|---|
| Coefficient of variation (CV) | 0.00159280037 |
| Kurtosis | -0.8219639755 |
| Mean | 2012.783 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.6898787091 |
| Sum | 2012783 |
| Variance | 10.27818919 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) | |
| 2016 | 297 | 29.7% | |
| 2015 | 127 | 12.7% | |
| 2014 | 98 | 9.8% | |
| 2013 | 91 | 9.1% | |
| 2012 | 64 | 6.4% | |
| 2011 | 63 | 6.3% | |
| 2010 | 60 | 6.0% | |
| 2007 | 53 | 5.3% | |
| 2008 | 52 | 5.2% | |
| 2009 | 51 | 5.1% |
| Value | Count | Frequency (%) | |
| 2006 | 44 | 4.4% | |
| 2007 | 53 | 5.3% | |
| 2008 | 52 | 5.2% | |
| 2009 | 51 | 5.1% | |
| 2010 | 60 | 6.0% |
| Value | Count | Frequency (%) | |
| 2016 | 297 | 29.7% | |
| 2015 | 127 | 12.7% | |
| 2014 | 98 | 9.8% | |
| 2013 | 91 | 9.1% | |
| 2012 | 64 | 6.4% |
Runtime (Minutes)
Real number (ℝ≥0)
| Distinct | 94 |
|---|---|
| Distinct (%) | 9.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 113.172 |
|---|---|
| Minimum | 66 |
| Maximum | 191 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 66 |
|---|---|
| 5-th percentile | 88 |
| Q1 | 100 |
| median | 111 |
| Q3 | 123 |
| 95-th percentile | 150 |
| Maximum | 191 |
| Range | 125 |
| Interquartile range (IQR) | 23 |
Descriptive statistics
| Standard deviation | 18.81090817 |
|---|---|
| Coefficient of variation (CV) | 0.1662152138 |
| Kurtosis | 0.8583211032 |
| Mean | 113.172 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0.8467127314 |
| Sum | 113172 |
| Variance | 353.8502663 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 108 | 31 | 3.1% | |
| 100 | 28 | 2.8% | |
| 117 | 27 | 2.7% | |
| 110 | 26 | 2.6% | |
| 106 | 26 | 2.6% | |
| 118 | 26 | 2.6% | |
| 102 | 25 | 2.5% | |
| 112 | 24 | 2.4% | |
| 104 | 23 | 2.3% | |
| 123 | 23 | 2.3% | |
| Other values (84) | 741 | 74.1% |
| Value | Count | Frequency (%) | |
| 66 | 1 | 0.1% | |
| 73 | 2 | 0.2% | |
| 80 | 2 | 0.2% | |
| 81 | 5 | 0.5% | |
| 82 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 191 | 1 | 0.1% | |
| 187 | 1 | 0.1% | |
| 180 | 3 | 0.3% | |
| 172 | 1 | 0.1% | |
| 170 | 1 | 0.1% |
Rating
Real number (ℝ≥0)
| Distinct | 55 |
|---|---|
| Distinct (%) | 5.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.7232 |
|---|---|
| Minimum | 1.9 |
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 1.9 |
|---|---|
| 5-th percentile | 5.1 |
| Q1 | 6.2 |
| median | 6.8 |
| Q3 | 7.4 |
| 95-th percentile | 8.1 |
| Maximum | 9 |
| Range | 7.1 |
| Interquartile range (IQR) | 1.2 |
Descriptive statistics
| Standard deviation | 0.9454287893 |
|---|---|
| Coefficient of variation (CV) | 0.1406218451 |
| Kurtosis | 1.322270288 |
| Mean | 6.7232 |
| Median Absolute Deviation (MAD) | 0.6 |
| Skewness | -0.7431419408 |
| Sum | 6723.2 |
| Variance | 0.8938355956 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 7.1 | 52 | 5.2% | |
| 6.7 | 48 | 4.8% | |
| 7 | 46 | 4.6% | |
| 6.3 | 44 | 4.4% | |
| 6.6 | 42 | 4.2% | |
| 7.2 | 42 | 4.2% | |
| 7.3 | 42 | 4.2% | |
| 6.5 | 40 | 4.0% | |
| 7.8 | 40 | 4.0% | |
| 6.2 | 37 | 3.7% | |
| Other values (45) | 567 | 56.7% |
| Value | Count | Frequency (%) | |
| 1.9 | 1 | 0.1% | |
| 2.7 | 2 | 0.2% | |
| 3.2 | 1 | 0.1% | |
| 3.5 | 2 | 0.2% | |
| 3.7 | 2 | 0.2% |
| Value | Count | Frequency (%) | |
| 9 | 1 | 0.1% | |
| 8.8 | 2 | 0.2% | |
| 8.6 | 3 | 0.3% | |
| 8.5 | 6 | 0.6% | |
| 8.4 | 4 | 0.4% |
Votes
Real number (ℝ≥0)
| Distinct | 997 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 169808.255 |
|---|---|
| Minimum | 61 |
| Maximum | 1791916 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 61 |
|---|---|
| 5-th percentile | 1260.35 |
| Q1 | 36309 |
| median | 110799 |
| Q3 | 239909.75 |
| 95-th percentile | 526551.85 |
| Maximum | 1791916 |
| Range | 1791855 |
| Interquartile range (IQR) | 203600.75 |
Descriptive statistics
| Standard deviation | 188762.6475 |
|---|---|
| Coefficient of variation (CV) | 1.111622327 |
| Kurtosis | 11.3126809 |
| Mean | 169808.255 |
| Median Absolute Deviation (MAD) | 88402 |
| Skewness | 2.507918483 |
| Sum | 169808255 |
| Variance | 3.56313371e+10 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1427 | 2 | 0.2% | |
| 97141 | 2 | 0.2% | |
| 291 | 2 | 0.2% | |
| 531112 | 1 | 0.1% | |
| 702 | 1 | 0.1% | |
| 47804 | 1 | 0.1% | |
| 226619 | 1 | 0.1% | |
| 76469 | 1 | 0.1% | |
| 125693 | 1 | 0.1% | |
| 174553 | 1 | 0.1% | |
| Other values (987) | 987 | 98.7% |
| Value | Count | Frequency (%) | |
| 61 | 1 | 0.1% | |
| 96 | 1 | 0.1% | |
| 102 | 1 | 0.1% | |
| 115 | 1 | 0.1% | |
| 164 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 1791916 | 1 | 0.1% | |
| 1583625 | 1 | 0.1% | |
| 1222645 | 1 | 0.1% | |
| 1047747 | 1 | 0.1% | |
| 1045588 | 1 | 0.1% |
| Distinct | 814 |
|---|---|
| Distinct (%) | 93.3% |
| Missing | 128 |
| Missing (%) | 12.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.95637615 |
|---|---|
| Minimum | 0 |
| Maximum | 936.63 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.211 |
| Q1 | 13.27 |
| median | 47.985 |
| Q3 | 113.715 |
| 95-th percentile | 293.88 |
| Maximum | 936.63 |
| Range | 936.63 |
| Interquartile range (IQR) | 100.445 |
Descriptive statistics
| Standard deviation | 103.2535405 |
|---|---|
| Coefficient of variation (CV) | 1.244672746 |
| Kurtosis | 10.60763453 |
| Mean | 82.95637615 |
| Median Absolute Deviation (MAD) | 41.285 |
| Skewness | 2.592515866 |
| Sum | 72337.96 |
| Variance | 10661.29362 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0.03 | 7 | 0.7% | |
| 0.01 | 5 | 0.5% | |
| 0.04 | 4 | 0.4% | |
| 0.02 | 4 | 0.4% | |
| 0.32 | 4 | 0.4% | |
| 0.05 | 4 | 0.4% | |
| 1.29 | 3 | 0.3% | |
| 0.15 | 3 | 0.3% | |
| 2.2 | 3 | 0.3% | |
| 0.54 | 3 | 0.3% | |
| Other values (804) | 832 | 83.2% | |
| (Missing) | 128 | 12.8% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.1% | |
| 0.01 | 5 | 0.5% | |
| 0.02 | 4 | 0.4% | |
| 0.03 | 7 | 0.7% | |
| 0.04 | 4 | 0.4% |
| Value | Count | Frequency (%) | |
| 936.63 | 1 | 0.1% | |
| 760.51 | 1 | 0.1% | |
| 652.18 | 1 | 0.1% | |
| 623.28 | 1 | 0.1% | |
| 533.32 | 1 | 0.1% |
| Distinct | 84 |
|---|---|
| Distinct (%) | 9.0% |
| Missing | 64 |
| Missing (%) | 6.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.98504274 |
|---|---|
| Minimum | 11 |
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 31 |
| Q1 | 47 |
| median | 59.5 |
| Q3 | 72 |
| 95-th percentile | 85 |
| Maximum | 100 |
| Range | 89 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 17.19475702 |
|---|---|
| Coefficient of variation (CV) | 0.2915104614 |
| Kurtosis | -0.6122051468 |
| Mean | 58.98504274 |
| Median Absolute Deviation (MAD) | 12.5 |
| Skewness | -0.1238873467 |
| Sum | 55210 |
| Variance | 295.6596691 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 66 | 25 | 2.5% | |
| 72 | 25 | 2.5% | |
| 68 | 25 | 2.5% | |
| 64 | 24 | 2.4% | |
| 57 | 23 | 2.3% | |
| 51 | 22 | 2.2% | |
| 65 | 22 | 2.2% | |
| 48 | 21 | 2.1% | |
| 81 | 21 | 2.1% | |
| 76 | 21 | 2.1% | |
| Other values (74) | 707 | 70.7% | |
| (Missing) | 64 | 6.4% |
| Value | Count | Frequency (%) | |
| 11 | 1 | 0.1% | |
| 15 | 1 | 0.1% | |
| 16 | 1 | 0.1% | |
| 18 | 4 | 0.4% | |
| 19 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 100 | 1 | 0.1% | |
| 99 | 1 | 0.1% | |
| 98 | 1 | 0.1% | |
| 96 | 4 | 0.4% | |
| 95 | 3 | 0.3% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| Rank | Title | Genre | Description | Director | Actors | Year | Runtime (Minutes) | Rating | Votes | Revenue (Millions) | Metascore | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Guardians of the Galaxy | Action,Adventure,Sci-Fi | A group of intergalactic criminals are forced to work together to stop a fanatical warrior from taking control of the universe. | James Gunn | Chris Pratt, Vin Diesel, Bradley Cooper, Zoe Saldana | 2014 | 121 | 8.1 | 757074 | 333.13 | 76.0 |
| 1 | 2 | Prometheus | Adventure,Mystery,Sci-Fi | Following clues to the origin of mankind, a team finds a structure on a distant moon, but they soon realize they are not alone. | Ridley Scott | Noomi Rapace, Logan Marshall-Green, Michael Fassbender, Charlize Theron | 2012 | 124 | 7.0 | 485820 | 126.46 | 65.0 |
| 2 | 3 | Split | Horror,Thriller | Three girls are kidnapped by a man with a diagnosed 23 distinct personalities. They must try to escape before the apparent emergence of a frightful new 24th. | M. Night Shyamalan | James McAvoy, Anya Taylor-Joy, Haley Lu Richardson, Jessica Sula | 2016 | 117 | 7.3 | 157606 | 138.12 | 62.0 |
| 3 | 4 | Sing | Animation,Comedy,Family | In a city of humanoid animals, a hustling theater impresario's attempt to save his theater with a singing competition becomes grander than he anticipates even as its finalists' find that their lives will never be the same. | Christophe Lourdelet | Matthew McConaughey,Reese Witherspoon, Seth MacFarlane, Scarlett Johansson | 2016 | 108 | 7.2 | 60545 | 270.32 | 59.0 |
| 4 | 5 | Suicide Squad | Action,Adventure,Fantasy | A secret government agency recruits some of the most dangerous incarcerated super-villains to form a defensive task force. Their first mission: save the world from the apocalypse. | David Ayer | Will Smith, Jared Leto, Margot Robbie, Viola Davis | 2016 | 123 | 6.2 | 393727 | 325.02 | 40.0 |
| 5 | 6 | The Great Wall | Action,Adventure,Fantasy | European mercenaries searching for black powder become embroiled in the defense of the Great Wall of China against a horde of monstrous creatures. | Yimou Zhang | Matt Damon, Tian Jing, Willem Dafoe, Andy Lau | 2016 | 103 | 6.1 | 56036 | 45.13 | 42.0 |
| 6 | 7 | La La Land | Comedy,Drama,Music | A jazz pianist falls for an aspiring actress in Los Angeles. | Damien Chazelle | Ryan Gosling, Emma Stone, Rosemarie DeWitt, J.K. Simmons | 2016 | 128 | 8.3 | 258682 | 151.06 | 93.0 |
| 7 | 8 | Mindhorn | Comedy | A has-been actor best known for playing the title character in the 1980s detective series "Mindhorn" must work with the police when a serial killer says that he will only speak with Detective Mindhorn, whom he believes to be a real person. | Sean Foley | Essie Davis, Andrea Riseborough, Julian Barratt,Kenneth Branagh | 2016 | 89 | 6.4 | 2490 | NaN | 71.0 |
| 8 | 9 | The Lost City of Z | Action,Adventure,Biography | A true-life drama, centering on British explorer Col. Percival Fawcett, who disappeared while searching for a mysterious city in the Amazon in the 1920s. | James Gray | Charlie Hunnam, Robert Pattinson, Sienna Miller, Tom Holland | 2016 | 141 | 7.1 | 7188 | 8.01 | 78.0 |
| 9 | 10 | Passengers | Adventure,Drama,Romance | A spacecraft traveling to a distant colony planet and transporting thousands of people has a malfunction in its sleep chambers. As a result, two passengers are awakened 90 years early. | Morten Tyldum | Jennifer Lawrence, Chris Pratt, Michael Sheen,Laurence Fishburne | 2016 | 116 | 7.0 | 192177 | 100.01 | 41.0 |
Last rows
| Rank | Title | Genre | Description | Director | Actors | Year | Runtime (Minutes) | Rating | Votes | Revenue (Millions) | Metascore | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 990 | 991 | Underworld: Rise of the Lycans | Action,Adventure,Fantasy | An origins story centered on the centuries-old feud between the race of aristocratic vampires and their onetime slaves, the Lycans. | Patrick Tatopoulos | Rhona Mitra, Michael Sheen, Bill Nighy, Steven Mackintosh | 2009 | 92 | 6.6 | 129708 | 45.80 | 44.0 |
| 991 | 992 | Taare Zameen Par | Drama,Family,Music | An eight-year-old boy is thought to be a lazy trouble-maker, until the new art teacher has the patience and compassion to discover the real problem behind his struggles in school. | Aamir Khan | Darsheel Safary, Aamir Khan, Tanay Chheda, Sachet Engineer | 2007 | 165 | 8.5 | 102697 | 1.20 | 42.0 |
| 992 | 993 | Take Me Home Tonight | Comedy,Drama,Romance | Four years after graduation, an awkward high school genius uses his sister's boyfriend's Labor Day party as the perfect opportunity to make his move on his high school crush. | Michael Dowse | Topher Grace, Anna Faris, Dan Fogler, Teresa Palmer | 2011 | 97 | 6.3 | 45419 | 6.92 | NaN |
| 993 | 994 | Resident Evil: Afterlife | Action,Adventure,Horror | While still out to destroy the evil Umbrella Corporation, Alice joins a group of survivors living in a prison surrounded by the infected who also want to relocate to the mysterious but supposedly unharmed safe haven known only as Arcadia. | Paul W.S. Anderson | Milla Jovovich, Ali Larter, Wentworth Miller,Kim Coates | 2010 | 97 | 5.9 | 140900 | 60.13 | 37.0 |
| 994 | 995 | Project X | Comedy | 3 high school seniors throw a birthday party to make a name for themselves. As the night progresses, things spiral out of control as word of the party spreads. | Nima Nourizadeh | Thomas Mann, Oliver Cooper, Jonathan Daniel Brown, Dax Flame | 2012 | 88 | 6.7 | 164088 | 54.72 | 48.0 |
| 995 | 996 | Secret in Their Eyes | Crime,Drama,Mystery | A tight-knit team of rising investigators, along with their supervisor, is suddenly torn apart when they discover that one of their own teenage daughters has been brutally murdered. | Billy Ray | Chiwetel Ejiofor, Nicole Kidman, Julia Roberts, Dean Norris | 2015 | 111 | 6.2 | 27585 | NaN | 45.0 |
| 996 | 997 | Hostel: Part II | Horror | Three American college students studying abroad are lured to a Slovakian hostel, and discover the grim reality behind it. | Eli Roth | Lauren German, Heather Matarazzo, Bijou Phillips, Roger Bart | 2007 | 94 | 5.5 | 73152 | 17.54 | 46.0 |
| 997 | 998 | Step Up 2: The Streets | Drama,Music,Romance | Romantic sparks occur between two dance students from different backgrounds at the Maryland School of the Arts. | Jon M. Chu | Robert Hoffman, Briana Evigan, Cassie Ventura, Adam G. Sevani | 2008 | 98 | 6.2 | 70699 | 58.01 | 50.0 |
| 998 | 999 | Search Party | Adventure,Comedy | A pair of friends embark on a mission to reunite their pal with the woman he was going to marry. | Scot Armstrong | Adam Pally, T.J. Miller, Thomas Middleditch,Shannon Woodward | 2014 | 93 | 5.6 | 4881 | NaN | 22.0 |
| 999 | 1000 | Nine Lives | Comedy,Family,Fantasy | A stuffy businessman finds himself trapped inside the body of his family's cat. | Barry Sonnenfeld | Kevin Spacey, Jennifer Garner, Robbie Amell,Cheryl Hines | 2016 | 87 | 5.3 | 12435 | 19.64 | 11.0 |